How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Three-compartment migration conserves weighted mass
Example
Consider a closed three-vertex path with orientation , masses , conductances , homogeneous diffusion, and initial state . Its conserved weighted mass is . The constant state is an equilibrium with that same weighted mass, and the exact trajectory from the stated nonnegative initial state stays entrywise nonnegative. No convergence-to-equilibrium claim is made.
The diagram records the orientation, conductances, and vertex masses; edge lengths are schematic and are not used in the matrix calculation.
\begin{center} \begin{tikzpicture}[>=stealth, every node/.style={font=\small}] \node[circle,draw] (v1) at (0,0) {}; \node[circle,draw] (v2) at (2.1,0) {}; \node[circle,draw] (v3) at (4.2,0) {}; \draw[->] (v1) -- node[above] {} (v2); \draw[->] (v2) -- node[above] {} (v3); \node[below=4pt] at (v1) {}; \node[below=4pt] at (v2) {}; \node[below=4pt] at (v3) {}; \end{tikzpicture} \end{center}
Facts & Assumptions
Given: The oriented path, , , , and the stated initial vector.
The closed network equation is , with and weighted mass (Finite weighted network diffusion data).
For a closed network, is constant under homogeneous diffusion; constants on a positive-conductance connected component lie in (Energy, kernel, and weighted mass balance for a finite network).
The homogeneous exact semigroup is defined by the finite matrix exponential and preserves nonnegative data (Positive graph-diffusion semigroup and Euler maps).
Verification
Given: The three-compartment matrices, initial state, and homogeneous network equation in the Example.
With the stated orientation, The graph is connected and both conductances are positive.
The initial weighted mass is . By [F2] it is constant for all times for which the homogeneous solution is evaluated.
The vector has by the displayed matrix in step 1.1, and its weighted mass at value is . Thus the stated constant state is an equilibrium with the same weighted mass.
Since , [F3] implies the exact semigroup trajectory remains entrywise nonnegative for every .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Fan R. K. Chung, Spectral Graph Theory, Chapter 1: Eigenvalues and the Laplacian of a Graph, CBMS 92 (1997), complete chapter text (standard reference, not scraped)
- Ward Whitt, Continuous-Time Markov Chains, full lecture notes (2006) (standard reference, not scraped)